Software Engineer, Map Fusion & Planning
DiDi Labs · San Jose, CA
Posted about a month ago · $141,463–$235,182
or apply directly on DiDi Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 30 days DiDi Labs's roles stay open a median of 17 days
- Reposted
- No
- Salary listed
- Yes 88% of DiDi Labs's roles list one
- Ghost-job risk at DiDi Labs
- low 0 stale, 0 reposted of 16 open
- Hiring momentum
- 25 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from DiDi Labs's own greenhouse board since 2026-08-03. Full hiring picture for DiDi Labs.
About this role
The Software Engineer role focuses on developing map fusion and motion planning systems for autonomous vehicles. Responsibilities include architecting data flow pipelines, deploying algorithms, optimizing performance, and ensuring system reliability through real-time anomaly detection. The position requires strong expertise in C++ and Python, alongside a solid understanding of motion planning and robotics fundamentals.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DiDi Labs as an employer.
What you need
- B.S./M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field
- 3+ years (Software Engineer) / 5+ years (Senior Software Engineer) of experience in autonomous driving, robotics architecture, or spatial computing
- Expert proficiency in production-grade C++ (Modern C++14/17/20, multi-threading, memory management)
- Strong prototyping proficiency in Python
- Robust foundational knowledge in path planning (e.g., A*, Dijkstra, Hybrid A*, sampling-based planners like RRT*) and kinematic/dynamic vehicle models
- Deep understanding of robotics fundamentals, including coordinate transformations, spatial geometry, and state estimation
Nice to have
- Hands-on experience with numerical trajectory optimization methods (e.g., MPC, QP/Nonlinear optimization, interior-point methods) and optimization solvers (e.g., OSQP, Ipopt, Ceres Solver)
- Hands-on experience working with HD map formats (Lanelet2, OpenDRIVE) and modern end-to-end learning frameworks (e.g., MapTR, VectorNet)
- Proven track record of exporting complex deep learning architectures via ONNX and deploying them into real-time C++ production environments using TensorRT
- Proven track record of developing algorithms for map anomaly detection, sensor-to-map misalignments, or online scene-change identification
- Knowledge of real-time operating systems (RTOS), deterministic software execution, and safety-critical software design principles
What you get
- Base salary range for Software Engineer position is $141,463–$235,182 annually
- Base salary range for Senior Software Engineer position is $169,783–$282,264 annually
- Bonus, equity, and benefits included
Worth weighing
- No specific information on company culture or team structure is provided
- The role involves working with complex systems which may require a steep learning curve for new technologies
- The position is focused on safety-critical systems, which may imply high-pressure responsibilities
Summarised from DiDi Labs's posting. Read the full original.
Listed by DiDi Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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